skip to main content

Attention:

The NSF Public Access Repository (NSF-PAR) system and access will be unavailable from 11:00 PM ET on Thursday, May 23 until 2:00 AM ET on Friday, May 24 due to maintenance. We apologize for the inconvenience.


Title: Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward
Award ID(s):
2140277
NSF-PAR ID:
10443804
Author(s) / Creator(s):
;
Date Published:
Journal Name:
Proc. ICLR
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
No document suggestions found